data-maker/pipeline.py

#!/usr/bin/env python3
	@staticmethod
		df = pd.read_gbq(SQL,credentials=credentials,dialect='standard')
		else :
		if 'ignore' in args and 'columns' in args['ignore'] :

df = df[_columns]
		# cols = _dc.columns.tolist()
		# for name in cols :
		# 	_args['data'][name] = _dc[name]
	_config = json.loads(f.read())
	f.close()	
	else:
		# 	time.sleep(2)